SaaStr

AUGUST 3, 2019

Cold emails to investors have their detractors. There are so, so many start-ups these days. Everyone with a checkbook is looking for signals which of the 1000s to invest in. Because these days in SaaS, there are just too many. 5 years ago, you could meet many of them. 10 years ago, you could meet all of them. Now there are just too many. So you are looking for signals.

Investment 191

Investment Metrics Strategy SaaS 191

Sales Hacker

AUGUST 3, 2019

Here’s a hard truth: there are lots of salespeople who do their jobs well, but most of them will not build a long-term, successful career in sales. So how do you avoid being among the burnt-out, unsuccessful bunch? You plan your career with intention, and hold yourself accountable for making progress. Scott Barker, Sales Hacker’s Head of Partnerships is joined by Laura Guerra, the Director of Sales at EAT Club.

Sales 54

Sales Development 54

SaaStr

AUGUST 3, 2019

Probably at least indirectly. Digital Ocean most likely can IPO any time it wants. I assume its revenues are well in excess of $250m+ today ( While Amazon and Microsoft battle in the cloud wars, this startup quietly built a $175 million business by picking up their slack ) and the space is obviously hot overall. Digital Ocean is likely picking the right team, with the right team, for the optimal IPO.

Cloud 132

Cloud Startup Revenue Business 132

SaaStr

AUGUST 3, 2019

My biggest mistake, the second time, was setting insane Year 1 projections. I had such a great set of co-founders, I projected we’d hit $2m ARR in our first year. That was back in 2006 in SaaS! And for real. I was 100% sure we’d hit it. We probably hit $0.2m instead. It was so hard on the team, one of us quit. We almost ran out of money. Things we rough.

Business 127

Business SaaS Marketing 127

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

Innovation